Published 2025
| Version v2
Dataset
Open
A global daily land surface ozone dataset from 2013 to 2022
Authors/Creators
-
1.
Nanjing University of Information Science and Technology
Description
The global surface ozone concentration dataset corresponds to the data developed here:
Time resolution: daily
Spatial resolution: 0.1°×0.1°
Time range: 2013-2022
The study obtains surface ozone by fusing multi-source data such as atmospheric chemistry model outputs, reanalysis data, and satellite products through efficient machine learning techniques. The temporal and spatial features of surface ozone modeling are fully taken into account.
Please contact Wang Rui (wangrui_rr@whu.edu.cn) with any questions about the dataset. We would like to know how you are using these data!
Files
2013.zip
Files
(19.6 GB)
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Additional details
Software
- Programming language
- Python